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Table 7 Linear regression model coefficients predicting total patient cost by income band for those who dissaved

From: What can dissaving tell us about catastrophic costs? Linear and logistic regression analysis of the relationship between patient costs and financial coping strategies adopted by tuberculosis patients in Bangladesh, Tanzania and Bangalore, India

a: Complete case analysis

 

Mean (se) coefficient values

 

Tanzania

Bangladesh

Predictors

Income < 20,000TZS / week

Income > 20,000TZS / week

Income < 1935 BDT / week

Income > 1935 BDT / week

N = 23

N = 16

N = 25

N = 11

Intercept

1.376e + 05

(1.435e + 05)

−1.466e + 05

(1.047e + 06)

1.170e + 04

(1.373e + 04)

2.591e + 04

(1.075e + 04)

Dissaving amount

9.507e-02

(1.565e-01)

4.619e-01

(5.965e-01)

7.073e-01

(8.668e-02)***

2.763e-02

(1.192e-01)

Age

1.600e + 03

(3.048e + 03)

1.664e + 04

(1.736e + 04)

−3.163e + 01

(2.281e + 02)

6.530e + 01

(3.257e + 02)

Female gender

−3.683e + 04

(2.074e + 05)

1.517e + 05

(3.533e + 05)

1.823e + 04

(1.136e + 04)

NA

Hospitalisation

NA

−2.868e + 05

(3.977e + 05)

−1.362e + 04

(9.631e + 03)

−3.507e + 03

(8.264e + 03)

Rural location

3.749e + 04

(8.546e + 04)

2.933e + 05

(2.893e + 05)

7.289e + 03

(1.265e + 04)

−3.016e + 04

(7.867e + 03)*

SES

1.879e + 04

(1.743e + 05)

−4.369e + 05

(2.798e + 05)

3.940e + 03

(8.415e + 03)

1.728e + 04

(6.022e + 03)*

b: Analysis with imputation of missing income band from participant characteristics (age, gender, location, SES and hospitalisation)

 

Mean (se) coefficient values

 

Tanzania

Bangladesh

Predictors

Income < 20,000TZS / week

Income > 20,000TZS / week

Income < 1935 BDT / week

Income > 1935 BDT / week

N = 35

N = 23

N = 41

N = 12

Intercept

4.020e + 05

2.804e + 05

−6.513e + 05

5.874e + 05

9.205e + 03

(8.980e + 03)

2.091e + 04

(1.130e + 04)

Dissaving amount

7.359e-02

1.889e-01

4.792e-01

3.782e-01

7.634e-01

(6.476e-02)***

3.834e-02

(1.314e-01)

Age

1.152e + 03

3.386e + 03

1.712e + 04

9.020e + 03

−1.810e + 01

(1.384e + 02)

2.778e + 02

(3.248e + 02)

Female gender

−6.014e + 04

1.152e + 05

4.260e + 04

1.946e + 05

7.789e + 03

(4.779e + 03)

NA

Hospitalisation

NA

3.338e + 05

1.782e + 05

−1.107e + 04

(6.978e + 03)

−7.406e + 03

(8.675e + 03)

Rural location

−6.015e + 04

1.032e + 05

1.902e + 05

1.857e + 05

2.243e + 03

(8.193e + 03)

−2.783e + 04

(8.520e + 03)*

SES

−7.030e + 04

1.883e + 05

−3.359e + 05

2.035e + 05

4.261e + 03

(5.506e + 03)

1.805e + 04

(6.626e + 03)*

  1. ‘***’p = 0.001 ‘*’p = 0.05